Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use maxxime/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use maxxime/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="maxxime/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "SnowballTarget.Policy.Entropy.mean": { | |
| "value": 0.899291455745697, | |
| "min": 0.899291455745697, | |
| "max": 2.8300554752349854, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Entropy.sum": { | |
| "value": 8546.8662109375, | |
| "min": 8546.8662109375, | |
| "max": 28889.205078125, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Step.mean": { | |
| "value": 199984.0, | |
| "min": 9952.0, | |
| "max": 199984.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Step.sum": { | |
| "value": 199984.0, | |
| "min": 9952.0, | |
| "max": 199984.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": { | |
| "value": 12.552804946899414, | |
| "min": 0.5339867472648621, | |
| "max": 12.552804946899414, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 2447.796875, | |
| "min": 103.59342956542969, | |
| "max": 2512.974365234375, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.mean": { | |
| "value": 0.06623454278964988, | |
| "min": 0.06309502133323501, | |
| "max": 0.07704029679321228, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.sum": { | |
| "value": 0.2649381711585995, | |
| "min": 0.25238008533294004, | |
| "max": 0.3548807108754238, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.mean": { | |
| "value": 0.21564902555124432, | |
| "min": 0.1719523592128455, | |
| "max": 0.27582672399048713, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.sum": { | |
| "value": 0.8625961022049773, | |
| "min": 0.687809436851382, | |
| "max": 1.3046994659246185, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.LearningRate.mean": { | |
| "value": 8.082097306000005e-06, | |
| "min": 8.082097306000005e-06, | |
| "max": 0.000291882002706, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.LearningRate.sum": { | |
| "value": 3.232838922400002e-05, | |
| "min": 3.232838922400002e-05, | |
| "max": 0.00138516003828, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Epsilon.mean": { | |
| "value": 0.10269400000000001, | |
| "min": 0.10269400000000001, | |
| "max": 0.19729400000000002, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Epsilon.sum": { | |
| "value": 0.41077600000000003, | |
| "min": 0.41077600000000003, | |
| "max": 0.96172, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Beta.mean": { | |
| "value": 0.0001444306000000001, | |
| "min": 0.0001444306000000001, | |
| "max": 0.0048649706, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Beta.sum": { | |
| "value": 0.0005777224000000004, | |
| "min": 0.0005777224000000004, | |
| "max": 0.023089828, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.EpisodeLength.mean": { | |
| "value": 199.0, | |
| "min": 199.0, | |
| "max": 199.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.EpisodeLength.sum": { | |
| "value": 8756.0, | |
| "min": 8756.0, | |
| "max": 10945.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.mean": { | |
| "value": 24.75, | |
| "min": 4.545454545454546, | |
| "max": 24.75, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.sum": { | |
| "value": 1089.0, | |
| "min": 200.0, | |
| "max": 1355.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.mean": { | |
| "value": 24.75, | |
| "min": 4.545454545454546, | |
| "max": 24.75, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.sum": { | |
| "value": 1089.0, | |
| "min": 200.0, | |
| "max": 1355.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.IsTraining.mean": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.IsTraining.sum": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 20 | |
| } | |
| }, | |
| "metadata": { | |
| "timer_format_version": "0.1.0", | |
| "start_time_seconds": "1785874632", | |
| "python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]", | |
| "command_line_arguments": "/content/miniconda/envs/py310/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget1 --no-graphics", | |
| "mlagents_version": "1.2.0.dev0", | |
| "mlagents_envs_version": "1.2.0.dev0", | |
| "communication_protocol_version": "1.5.0", | |
| "pytorch_version": "2.8.0+cu128", | |
| "numpy_version": "1.23.5", | |
| "end_time_seconds": "1785875131" | |
| }, | |
| "total": 499.237630416, | |
| "count": 1, | |
| "self": 0.4813321999997697, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.029184159000124055, | |
| "count": 1, | |
| "self": 0.029184159000124055 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 498.7271140570001, | |
| "count": 1, | |
| "self": 0.4932915229912851, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 3.015227456000048, | |
| "count": 1, | |
| "self": 3.015227456000048 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 495.1314979500087, | |
| "count": 18192, | |
| "self": 0.5258383690381834, | |
| "children": { | |
| "env_step": { | |
| "total": 370.498674459993, | |
| "count": 18192, | |
| "self": 290.42596843698516, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 79.76861755000573, | |
| "count": 18192, | |
| "self": 1.441448960999196, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 78.32716858900653, | |
| "count": 18192, | |
| "self": 78.32716858900653 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.3040884730021389, | |
| "count": 18192, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 496.5586064460033, | |
| "count": 18192, | |
| "is_parallel": true, | |
| "self": 243.26165688600963, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.0054929320001519955, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.003975294000156282, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0015176379999957135, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.0015176379999957135 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.07235379200005809, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0005877709998003411, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.00037517999999181484, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00037517999999181484 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.06742044700013139, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.06742044700013139 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.003970394000134547, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0003470450001259451, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.003623349000008602, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.003623349000008602 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 253.29694955999366, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 11.257673140954694, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 5.979289868020487, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 5.979289868020487 | |
| }, | |
| "communicator.exchange": { | |
| "total": 195.12602212200613, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 195.12602212200613 | |
| }, | |
| "steps_from_proto": { | |
| "total": 40.93396442901235, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 7.414764593015661, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 33.51919983599669, | |
| "count": 181910, | |
| "is_parallel": true, | |
| "self": 33.51919983599669 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 124.10698512097747, | |
| "count": 18192, | |
| "self": 0.6340856689798784, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 25.380496326996536, | |
| "count": 18192, | |
| "self": 24.894578137996632, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.4859181889999036, | |
| "count": 4, | |
| "self": 0.4859181889999036 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 98.09240312500106, | |
| "count": 90, | |
| "self": 39.51663093598813, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 58.57577218901292, | |
| "count": 4587, | |
| "self": 58.57577218901292 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 9.570001111569582e-07, | |
| "count": 1, | |
| "self": 9.570001111569582e-07 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.08709617099998468, | |
| "count": 1, | |
| "self": 0.0008169039999756933, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.08627926700000899, | |
| "count": 1, | |
| "self": 0.08627926700000899 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |